This rule learning task involves learning to differentiate
between structures of the form ABA and ABB,
and is based on the the experiments with infants described by
[1]}.
Examples of the task data can be seen in Table REF .
Each input to the network is a sequence of three words,
such as ga ti ga or ga ti ti,
and the outputs are binary labels
indicating the ABA and ABB categories.
Crucially, however, the sequences in the test data are
constructed from words that were not seen during training,
e.g. wo fe wo or wo fe fe.
In other words, the network must learn
in a sufficiently abstract manner to be able to
apply the same rule to both seen and unseen words.
